Find work in Canada.

550,896 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 8 days ago
L
Senior Back-End Engineer
LotusFlare
Toronto, ON
- Full-time
At LotusFlare, Senior Backend Engineers are replacing traditional business back ends with an engagement-centric, dynamic product stack. You’ll develop, secure and scale the back-end…
Added 8 days ago
ZS
Platform Modernization Engineer
Zodiac Solutions, Inc
Montreal, QC
- Full-time
Experience working with relational databases such as Postgre/SQL, Oracle or SQL Server
Added 9 days ago
I
Senior AI Engineer, ICT
ICAO
Montreal, QC
- Full-time
…and multi-agent workflows, using Microsoft Azure AI services, with Python used for supporting tooling, prototyping and evaluation where…
Added 9 days ago
F/
Data Analyst, Data Solutions & Development
FCC / FAC
Surrey, BC
- Full-time
Proficiency in programming languages such as Python, PySpark, and advanced SQL across various platforms
Added 9 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Remote, Canada
- $112,006 to $149,341 CAD / year
- Full-time
- Remote
Export Development Canada operates in a hybrid work environment, with a current requirement of three in-office days per week.
Added 9 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Remote, Canada
- $112,006 to $149,341 CAD / year
- Full-time
- Remote
Export Development Canada operates in a hybrid work environment, with a current requirement of three in-office days per week.
Added 9 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Remote, Canada
- $112,006 to $149,341 CAD / year
- Full-time
- Remote
Export Development Canada operates in a hybrid work environment, with a current requirement of three in-office days per week.
Added 9 days ago
C
Python Developer
Collabera
Toronto, ON
- $65 to $70 USD / hour
- Contract
Title: Senior Python Developer (Azure & Databricks)
Added 9 days ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 9 days ago
UH
Business Analyst, Transformation and Innovation
University Health Network
Toronto, ON
- Full-time
Use data analysis and visualization tools (e.g., SQL, Python, Power BI, Tableau) to communicate findings
Added 9 days ago
Lead Data Engineer
Gore Mutual Insurance
Toronto, ON · Cambridge, ON
A solid understanding of Spark concepts and distributed systems, including data transformations, DataFrames, and Spark SQL; experience with dbt and Airflow is an asset.
Added 9 days ago
Strategic Pricing Analyst, New Grad Opportunity, (12 months contract)
Siemens
Oakville, ON
Proficiency in Microsoft Excel and Python (or similar coding experience), with the ability to organize data and communicate findings effectively.
Added 9 days ago
I
Technology Lead - DBT PySpark Developer
Infosys
Mississauga, ON
- $92,740 to $123,375 CAD / year
- Full-time
Infosys is seeking an experienced DBT PySpark Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time…
Added 9 days ago
TC
Azure Data Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Experienced in any of the following programming/scripting languages (SQL, Python, Shell, Scala) Excellent organizational and time management skills, strong business presence with ability to…
Added 9 days ago
ZS
Enterprise Data Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 9 days ago
I
Technology Lead - DBT PySpark Developer
Infosys
Calgary, AB
- Full-time
Infosys is seeking an experienced DBT PySpark Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time…
Added 9 days ago
KC
Senior Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Expert skills in SQL, Python, and distributed data processing.
Added 9 days ago
PC
Retail Point of Sale (POS) Integration Specialist
Parkland Corporation
Calgary, AB
- Full-time
The successful candidate will work with systems that support fuel pricing, environmental compliance, accounting, inventory management, tank monitoring, and digital price sign management.…
Added 9 days ago
PC
IT Applications Support Specialist – Health, Safety, Environmental (HSE) & Transportation Systems
Parkland Corporation
Calgary, AB
- Full-time
Experience working with Microsoft SQL Server and data warehouse environments.
Added 9 days ago
IC
Dotnet Developer
Infotek Consulting Inc.
Toronto, ON
- Contract
The ideal candidate is a hands-on application developer who combines strong C#/.NET and SQL development skills with experience supporting enterprise financial technology systems.
Added 9 days ago
JG
Ab Initio Metadata Consultant (One round of interview)
J2B Global LLC
Mississauga, ON
- Full-time
Work with relational databases such as Oracle and SQL/PLSQL.
Added 9 days ago
A
Data Engineer - (Pyspark & Python)
Apptad
Montreal, QC
- Contract
Core Technical Skills: Strong proficiency in Python and hands-on expertise with PySpark (Spark SQL, DataFrames, RDDs).
Added 9 days ago
A
Operations Analyst
Adecco
Markham, ON
- Full-time
This is an opportunity for someone who enjoys working with data, building dashboards and finding practical ways to improve business performance. Working with senior operations staff, you’ll…
Added 9 days ago
S
AI Software Developer Co-op
symplistic.ai
Woodbridge, ON
- $23 CAD / hour
- Internship
As an AI Engineer Co-op at Symplistic.ai, you will work directly with our engineering team to design, develop, test, and deploy enterprise AI applications and AI agents.
Added 9 days ago
TR
BIM Coordinator
Trillium Rail Partners
Mississauga, ON
- Full-time
Knowledge of scripting or programming languages (e.g., Python, C#, VBA, or SQL) is considered a strong plus and will support workflow automation and digital delivery initiatives.

Gore Mutual Insurance

Lead Data Engineer

Toronto, ON, Canada
Cambridge, ON, Canada

The expected base salary range for this position is $91,500 - $147,500.

Apply About employer

Applications open in a new tab.

Job details

Pay: The expected base salary range for this position is $91,500 - $147,500.
Experience: A minimum of 5-8 years of relevant experience as a data engineer is required.
Posting language: English
Posted: Oct 22, 2026

Original job description

At Gore Mutual, we’ve always set ourselves apart as a modern mutual that does good. Now, we’re proudly building on that legacy to transform our company - and our industry - for the better.

Effective January 1, 2026, Gore has joined Beneva - the country’s largest mutual insurance company - as part of its Property & Casualty operations in Ontario and Western Canada. During 2026, Gore will combine its operations with Unica Insurance, Beneva’s Ontario-based subsidiary specializing in niche commercial and personal insurance, creating a stronger, more diversified mutual insurer with greater scale and long-term stability.

Every decision and investment remains anchored in long-term benefits to customers, members, and communities. Come join us.

This position requires a strong technical background and is responsible for designing, developing and maintaining scalable data infrastructure on the Databricks lakehouse, the enterprise single source of truth. It plays a pivotal role in enabling data-driven decision making across the enterprise and in providing technical leadership to the data engineering team, with a focus on delivering business value. This role requires close collaboration with cross-functional stakeholders, IT and data science teams.

What will you do in this role:

Data Modelling, Infrastructure and Design

Develop and maintain scalable, reliable, and resilient systems to evolve and mature our data infrastructure and tech stack.
Develop configuration driven, scalable, efficient, and robust data pipelines spanning policy, billing, claims and finance data to support reporting, pricing and analytics.
Develop and implement data quality checks within pipelines to ensure the integrity and accuracy of incoming data.

Data Strategy

Collaborate with cross-functional teams, including data scientists, data product owners, and business stakeholders to understand their data requirements, prioritize work by business value, and deliver high-quality data pipeline solutions, including build-versus-buy recommendations where appropriate.

Automating Data Management Processes and Handling Data Security

Automate data management processes and handle data security.
Ensure that security protocols and best practices are in place to protect against potential security threats.

Testing and Optimizing Data Platform

Optimize data pipelines to ensure efficient data flow.
Ensure that the data extracted from sources is accurate, complete, and usable. This might involve checking for missing values, inconsistent formats, or anomalies that could indicate errors.
Test the efficiency and speed of data pipelines and databases. This can help identify bottlenecks and optimize performance.
Verify that different components of the data infrastructure work together as expected. This includes checking that data flows correctly from sources to databases, and from databases to applications.

Maintenance of Data Platform

Regularly check the health and performance of the data platform. This can involve tracking metrics like query times, error rates, and resource usage.
Identify and resolve issues that arise in the data platform. This can involve debugging code, optimizing queries, or adjusting configurations.
Keep the data platform and engineering practices up to date with the latest technologies and security patches, including AI-assisted development (coding agents, context engineering and agent skills) where it improves delivery and quality.
Implement strategies to protect data from loss or corruption. This can involve regular backups, redundancy measures, and disaster recovery plan

What you need to succeed in this role:

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering or a related field.
A minimum of 5-8 years of relevant experience as a data engineer is required. This includes experience in data engineering, data system development, or related roles, with demonstrated ownership of initiatives end to end and experience mentoring other engineers.
Strong understanding of data structures, data modeling, and software architecture, with sound judgment on when to build and when to buy.
Deep, hands-on knowledge of Azure Databricks (Unity Catalog, Delta Lake, Lakeflow/Jobs, compute and cost optimization) and related Microsoft Azure services (DevOps, Azure Storage, Key Vault, etc.)
Strong problem-solving and critical-thinking abilities, with a high sense of ownership and a focus on delivering business value and return on investment.
Experience with software design patterns, test-driven development (TDD), CI/CD and operating data pipelines as production systems (data quality, observability, incident response).
Proficiency in Python, including a strong grasp of Object Oriented and Functional programming paradigms.
A solid understanding of Spark concepts and distributed systems, including data transformations, DataFrames, and Spark SQL; experience with dbt and Airflow is an asset.
Excellent SQL skills and expertise in database management and tuning.
Hands-on experience with coding agents, context engineering and the agent skill development lifecycle, and continuous learning on the latest advancements in Azure Databricks and data engineering.
Strong communication and collaboration skills, including mentoring and growing other engineers.

The expected base salary range for this position is $91,500 - $147,500. Depending on your relevant experience, skills, qualifications, market conditions and business needs, base compensation may vary. You have the potential to earn more through Gore Mutual’s discretionary bonus program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.

Please note: This range reflects the expected base salary for this role but may not represent the full compensation range for all experience and skill levels. During the recruitment process, we will discuss and consider how your unique qualifications align with the broader range for this position.

Gore Mutual is proud to offer a comprehensive total rewards package which includes extended health and dental benefits, disability insurance, retirement plan matching, paid time off, recognition and perk programs.

This posting pertains to an existing vacancy that is actively being filled.

Accessibility for applicants

Gore Mutual Insurance Company is committed to providing accommodations for people with disabilities during all phases of the recruiting process, including the application process.

If you require accommodation because of a disability, we will work with you to meet your needs. Contact us and a human resources representative will consult with you to determine an appropriate accommodation.

Should you request an accommodation during the interview process, please notify your Talent Acquisition Consultant.

Apply About employer

More about this job

Responsibilities

The Lead Data Engineer is responsible for designing, developing, and maintaining scalable data infrastructure on the Databricks lakehouse. This role involves leading the data engineering team, collaborating with cross-functional stakeholders, and ensuring the integrity and security of enterprise data pipelines.

Requirements

Candidates must possess a Bachelor’s or Master’s degree in a relevant field and 5-8 years of experience in data engineering. Strong hands-on expertise in Azure Databricks, Python, SQL, and software architecture is required, along with proven leadership and mentoring capabilities.

Skills

Data engineering
Azure Databricks
Python
SQL
Data modeling
Spark
Delta Lake
CI/CD
Test-driven development
Data infrastructure
Cloud security
Distributed systems
Data pipelines
Mentoring
Communication
Problem-solving

Benefits

Extended health benefits
Dental benefits
Disability insurance
Retirement plan matching
Paid time off
Recognition programs
Perk programs

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Azure Databricks
Unity Catalog
Delta Lake
Lakeflow
Azure
DevOps
Python
Spark
Spark SQL
dbt
Airflow
Data Modeling
CI/CD
TDD
Data Quality
Observability
Object Oriented Programming
Functional Programming
Distributed Systems
Coding Agents
Context Engineering
Data Infrastructure
Insurance
Data Science
Cloud Security
Database Management
Performance Tuning
Data Pipelines
Software Architecture

Report this job